Goo Jun
Impact in
- Genetics top 2%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 5
- Genetics 18
- Cleft Lip and Palate Research 8
- Genetic Associations and Epidemiology 6
- Genomics and Rare Diseases 6
- Craniofacial Disorders and Treatments 5
- Co-authors
- Hyun Min Kang (11 shared papers)Gonçalo R. Abecasis (8 shared papers)Joydeep Ghosh (13 shared papers)Joshua M. Akey (1 shared paper)Mark J. Rieder (1 shared paper)Wenqing Fu (1 shared paper)Michael J. Bamshad (1 shared paper)Timothy D. O’Connor (1 shared paper)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (2 papers)The American Journal of Human Genetics (2 papers)Bioinformatics (1 paper)Nature Protocols (1 paper)Trends in Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomCyprus
In The Last Decade
Goo Jun
54 papers receiving 2.4k citations
Goo Jun's Hit Papers
Peers
Comparison fields: 5 of 151
- Genetics 909
- Cancer Research 249
- Molecular Biology 1.1k
- Media Technology 136
- Gastroenterology 51
Countries citing papers authored by Goo Jun
This map shows the geographic impact of Goo Jun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Goo Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Goo Jun more than expected).
Fields of papers citing papers by Goo Jun
This network shows the impact of papers produced by Goo Jun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Goo Jun. The network helps show where Goo Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Goo Jun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Analysis of 6,515 exomes reveals the recent origin of most human protein-coding variants Hit paper breakdown → | 2012 | 668 |
| 2 | Microscopic examination of spatial transcriptome using Seq-Scope Hit paper breakdown → | 2021 | 323 |
| 3 | 2015 | 220 | |
| 4 | 2012 | 215 | |
| 5 | 2017 | 152 | |
| 6 | 2015 | 71 | |
| 7 | 2014 | 62 | |
| 8 | 2020 | 49 | |
| 9 | 2022 | 46 | |
| 10 | 2008 | 38 | |
| 11 | 2011 | 36 | |
| 12 | 2012 | 35 | |
| 13 | 2008 | 31 | |
| 14 | 2015 | 30 | |
| 15 | 2018 | 28 | |
| 16 | 2009 | 27 | |
| 17 | 2009 | 25 | |
| 18 | 2019 | 24 | |
| 19 | 2009 | 24 | |
| 20 | 2019 | 23 |
About Goo Jun
Goo Jun is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Media Technology and Computer Vision and Pattern Recognition, having authored 58 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cleft Lip and Palate Research (8 papers), Genetic Associations and Epidemiology (6 papers), Machine Learning and Algorithms (6 papers), Genomics and Rare Diseases (6 papers), Single-cell and spatial transcriptomics (5 papers), Remote-Sensing Image Classification (5 papers), Craniofacial Disorders and Treatments (5 papers) and Machine Learning and Data Classification (4 papers). The work is most often cited by research in Genetics (909 citations), Cancer Research (249 citations), Molecular Biology (1.1k citations), Media Technology (136 citations) and Gastroenterology (51 citations). Goo Jun has collaborated with scholars based in United States, United Kingdom and Cyprus. Frequent co-authors include Hyun Min Kang, Gonçalo R. Abecasis, Joydeep Ghosh, Joshua M. Akey, Mark J. Rieder, Wenqing Fu, Michael J. Bamshad, Timothy D. O’Connor, Stacey Gabriel and Suzanne M. Leal. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, The American Journal of Human Genetics, Bioinformatics, Nature Protocols and Trends in Genetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.